Cargando…

A quantitative analysis of gait patterns in vestibular neuritis patients using gyroscope sensor and a continuous walking protocol

BACKGROUND: Locomotion involves an integration of vision, proprioception, and vestibular information. The parieto-insular vestibular cortex is known to affect the supra-spinal rhythm generators, and the vestibular system regulates anti-gravity muscle tone of the lower leg in the same side to maintai...

Descripción completa

Detalles Bibliográficos
Autores principales: Kim, Soo Chan, Kim, Joo Yeon, Lee, Hwan Nyeong, Lee, Hwan Ho, Kwon, Jae Hwan, Kim, Nam beom, Kim, Mi Joo, Hwang, Jong Hyun, Han, Gyu Cheol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3991869/
https://www.ncbi.nlm.nih.gov/pubmed/24725764
http://dx.doi.org/10.1186/1743-0003-11-58
_version_ 1782312512525434880
author Kim, Soo Chan
Kim, Joo Yeon
Lee, Hwan Nyeong
Lee, Hwan Ho
Kwon, Jae Hwan
Kim, Nam beom
Kim, Mi Joo
Hwang, Jong Hyun
Han, Gyu Cheol
author_facet Kim, Soo Chan
Kim, Joo Yeon
Lee, Hwan Nyeong
Lee, Hwan Ho
Kwon, Jae Hwan
Kim, Nam beom
Kim, Mi Joo
Hwang, Jong Hyun
Han, Gyu Cheol
author_sort Kim, Soo Chan
collection PubMed
description BACKGROUND: Locomotion involves an integration of vision, proprioception, and vestibular information. The parieto-insular vestibular cortex is known to affect the supra-spinal rhythm generators, and the vestibular system regulates anti-gravity muscle tone of the lower leg in the same side to maintain an upright posture through the extra-pyramidal track. To demonstrate the relationship between locomotion and vestibular function, we evaluated the differences in gait patterns between vestibular neuritis (VN) patients and normal subjects using a gyroscope sensor and long-way walking protocol. METHODS: Gyroscope sensors were attached to both shanks of healthy controls (n=10) and age-matched VN patients (n = 10). We then asked the participants to walk 88.8 m along a corridor. Through the summation of gait cycle data, we measured gait frequency (Hz), normalized angular velocity (NAV) of each axis for legs, maximum and minimum NAV, up-slope and down-slope of NAV in swing phase, stride-swing-stance time (s), and stance to stride ratio (%). RESULTS: The most dominant walking frequency in the VN group was not different compared to normal control. The NAVs of z-axis (pitch motion) were significantly larger than the others (x-, y-axis) and the values in VN patients tended to decrease in both legs and the difference of NAV between both group was significant in the ipsi-lesion side in the VN group only (p=0.03). Additionally, the gait velocity of these individuals was decreased relatively to controls (1.11 ± 0.120 and 0.84 ± 0.061 m/s in control and VN group respectively, p<0.01), which seems to be related to the significantly increased stance and stride time of the ipsi-lesion side. Moreover, in the VN group, the maximum NAV of the lesion side was less, and the minimum one was higher than control group. Furthermore, the down-slope and up-slope of NAV decreased on the impaired side. CONCLUSION: The walking pattern of VN patients was highly phase-dependent, and NAV of pitch motion was significantly decreased in the ipsi-lesion side. The change of gait rhythm, stance and stride time, and maximum/minimum NAV of the ipsi-lesion side were characteristics of individuals with VN.
format Online
Article
Text
id pubmed-3991869
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-39918692014-05-05 A quantitative analysis of gait patterns in vestibular neuritis patients using gyroscope sensor and a continuous walking protocol Kim, Soo Chan Kim, Joo Yeon Lee, Hwan Nyeong Lee, Hwan Ho Kwon, Jae Hwan Kim, Nam beom Kim, Mi Joo Hwang, Jong Hyun Han, Gyu Cheol J Neuroeng Rehabil Research BACKGROUND: Locomotion involves an integration of vision, proprioception, and vestibular information. The parieto-insular vestibular cortex is known to affect the supra-spinal rhythm generators, and the vestibular system regulates anti-gravity muscle tone of the lower leg in the same side to maintain an upright posture through the extra-pyramidal track. To demonstrate the relationship between locomotion and vestibular function, we evaluated the differences in gait patterns between vestibular neuritis (VN) patients and normal subjects using a gyroscope sensor and long-way walking protocol. METHODS: Gyroscope sensors were attached to both shanks of healthy controls (n=10) and age-matched VN patients (n = 10). We then asked the participants to walk 88.8 m along a corridor. Through the summation of gait cycle data, we measured gait frequency (Hz), normalized angular velocity (NAV) of each axis for legs, maximum and minimum NAV, up-slope and down-slope of NAV in swing phase, stride-swing-stance time (s), and stance to stride ratio (%). RESULTS: The most dominant walking frequency in the VN group was not different compared to normal control. The NAVs of z-axis (pitch motion) were significantly larger than the others (x-, y-axis) and the values in VN patients tended to decrease in both legs and the difference of NAV between both group was significant in the ipsi-lesion side in the VN group only (p=0.03). Additionally, the gait velocity of these individuals was decreased relatively to controls (1.11 ± 0.120 and 0.84 ± 0.061 m/s in control and VN group respectively, p<0.01), which seems to be related to the significantly increased stance and stride time of the ipsi-lesion side. Moreover, in the VN group, the maximum NAV of the lesion side was less, and the minimum one was higher than control group. Furthermore, the down-slope and up-slope of NAV decreased on the impaired side. CONCLUSION: The walking pattern of VN patients was highly phase-dependent, and NAV of pitch motion was significantly decreased in the ipsi-lesion side. The change of gait rhythm, stance and stride time, and maximum/minimum NAV of the ipsi-lesion side were characteristics of individuals with VN. BioMed Central 2014-04-11 /pmc/articles/PMC3991869/ /pubmed/24725764 http://dx.doi.org/10.1186/1743-0003-11-58 Text en Copyright © 2014 Kim et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
spellingShingle Research
Kim, Soo Chan
Kim, Joo Yeon
Lee, Hwan Nyeong
Lee, Hwan Ho
Kwon, Jae Hwan
Kim, Nam beom
Kim, Mi Joo
Hwang, Jong Hyun
Han, Gyu Cheol
A quantitative analysis of gait patterns in vestibular neuritis patients using gyroscope sensor and a continuous walking protocol
title A quantitative analysis of gait patterns in vestibular neuritis patients using gyroscope sensor and a continuous walking protocol
title_full A quantitative analysis of gait patterns in vestibular neuritis patients using gyroscope sensor and a continuous walking protocol
title_fullStr A quantitative analysis of gait patterns in vestibular neuritis patients using gyroscope sensor and a continuous walking protocol
title_full_unstemmed A quantitative analysis of gait patterns in vestibular neuritis patients using gyroscope sensor and a continuous walking protocol
title_short A quantitative analysis of gait patterns in vestibular neuritis patients using gyroscope sensor and a continuous walking protocol
title_sort quantitative analysis of gait patterns in vestibular neuritis patients using gyroscope sensor and a continuous walking protocol
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3991869/
https://www.ncbi.nlm.nih.gov/pubmed/24725764
http://dx.doi.org/10.1186/1743-0003-11-58
work_keys_str_mv AT kimsoochan aquantitativeanalysisofgaitpatternsinvestibularneuritispatientsusinggyroscopesensorandacontinuouswalkingprotocol
AT kimjooyeon aquantitativeanalysisofgaitpatternsinvestibularneuritispatientsusinggyroscopesensorandacontinuouswalkingprotocol
AT leehwannyeong aquantitativeanalysisofgaitpatternsinvestibularneuritispatientsusinggyroscopesensorandacontinuouswalkingprotocol
AT leehwanho aquantitativeanalysisofgaitpatternsinvestibularneuritispatientsusinggyroscopesensorandacontinuouswalkingprotocol
AT kwonjaehwan aquantitativeanalysisofgaitpatternsinvestibularneuritispatientsusinggyroscopesensorandacontinuouswalkingprotocol
AT kimnambeom aquantitativeanalysisofgaitpatternsinvestibularneuritispatientsusinggyroscopesensorandacontinuouswalkingprotocol
AT kimmijoo aquantitativeanalysisofgaitpatternsinvestibularneuritispatientsusinggyroscopesensorandacontinuouswalkingprotocol
AT hwangjonghyun aquantitativeanalysisofgaitpatternsinvestibularneuritispatientsusinggyroscopesensorandacontinuouswalkingprotocol
AT hangyucheol aquantitativeanalysisofgaitpatternsinvestibularneuritispatientsusinggyroscopesensorandacontinuouswalkingprotocol
AT kimsoochan quantitativeanalysisofgaitpatternsinvestibularneuritispatientsusinggyroscopesensorandacontinuouswalkingprotocol
AT kimjooyeon quantitativeanalysisofgaitpatternsinvestibularneuritispatientsusinggyroscopesensorandacontinuouswalkingprotocol
AT leehwannyeong quantitativeanalysisofgaitpatternsinvestibularneuritispatientsusinggyroscopesensorandacontinuouswalkingprotocol
AT leehwanho quantitativeanalysisofgaitpatternsinvestibularneuritispatientsusinggyroscopesensorandacontinuouswalkingprotocol
AT kwonjaehwan quantitativeanalysisofgaitpatternsinvestibularneuritispatientsusinggyroscopesensorandacontinuouswalkingprotocol
AT kimnambeom quantitativeanalysisofgaitpatternsinvestibularneuritispatientsusinggyroscopesensorandacontinuouswalkingprotocol
AT kimmijoo quantitativeanalysisofgaitpatternsinvestibularneuritispatientsusinggyroscopesensorandacontinuouswalkingprotocol
AT hwangjonghyun quantitativeanalysisofgaitpatternsinvestibularneuritispatientsusinggyroscopesensorandacontinuouswalkingprotocol
AT hangyucheol quantitativeanalysisofgaitpatternsinvestibularneuritispatientsusinggyroscopesensorandacontinuouswalkingprotocol